Remove torchvision pin to allow vllm 0.12.0 to resolve its own torchvision dependency

Dockerfile

@@ -17,7 +17,7 @@ RUN useradd -m -u 1000 user
 WORKDIR /app
 
 COPY --chown=user requirements.txt ./
-RUN python3 -m pip install --no-cache-dir torch==2.6.0+cu124 torchvision==0.21.0+cu124 --index-url https://download.pytorch.org/whl/cu124
+RUN python3 -m pip install --no-cache-dir torch==2.6.0+cu124 --index-url https://download.pytorch.org/whl/cu124
 RUN python3 -m pip install --no-cache-dir -r requirements.txt
 
 

handover.md

@@ -50,9 +50,9 @@ This document maintains a persistent, sequential log of all operations and state
 ### 6. Resolution of the NVIDIA Driver 12040 Mismatch (Completed)
 - **Problem:** When `pip` installed the standard `torch` package, it fell back to PyPI's default CUDA 13.0/12.8 wheel because the `https://download.pytorch.org/whl/cu124` index contains `2.6.0+cu124` (requiring the exact version suffix match to prevent PyPI fallback). This mismatch crashed the container runtime on the Space's A100 GPU host (which runs NVIDIA driver `12040` supporting up to CUDA 12.4).
 - **Resolution:**
-  - Updated `requirements.txt` to explicitly request `torch==2.6.0+cu124` and `torchvision==0.21.0+cu124`.
+  - Updated `requirements.txt` to explicitly request `torch==2.6.0+cu124`.
   - Added a direct pre-installation layer in the `Dockerfile` targeting `--index-url https://download.pytorch.org/whl/cu124` to absolutely guarantee that PyTorch installs the CUDA 12.4 pre-compiled wheel.
-  - This guarantees PyTorch matches the host's driver version (`12040`) perfectly while allowing the modern `vllm==0.8.0` runtime to execute natively on the A100 hardware.
+  - This guarantees PyTorch matches the host's driver version (`12040`) perfectly while allowing the modern `vllm==0.12.0` runtime to execute natively on the A100 hardware, dynamically pulling its compatible `torchvision` version automatically.
 
 ---
 

requirements.txt

@@ -1,6 +1,5 @@
 --extra-index-url https://download.pytorch.org/whl/cu124
 torch==2.6.0+cu124
-torchvision==0.21.0+cu124
 vllm==0.12.0
 gradio
 openai